Digital Asset Management (DAM) is a concept still considered irrelevant for high transaction volume industries. They are reluctant to adopt agile cloud solutions, relying instead on outdated costly and inefficient on-premise architectures. Furthermore, organizations are using several different solutions for email resource, creative visuals, web banners management and classic media. This decentralization creates a chaotic workflow when running a marketing department. Regardless, the dogma “if something ain’t broke don’t fix it” is very much active here, making adopting DAM as a service a slow evolution. Solutions such as IntelligenceBank aim at being the center of the digital asset universe and their solution is most commonly applied towards enterprise wide, content marketing, media, and production.

Departments creating multiple copies of the same resource or different versions of the same resources is a waste of time and money for the company. DAM solutions eliminate costly redundancy by creating an easily manageable central repository for all digital assets.

Improves Campaign Management Overview:

Campaign resources are usually decentralized on a local hard drive, making it impossible for any process overview. DAM solutions such as IntelligenceBank allow you to keep all resources centralized and easily accessible from anywhere.

Improves Campaign Consistency:

DAM solutions allow campaigns to be in one centralized location, greatly facilitating the management of all digital assets, along with their rights and usages.

DAM Impact with Image Recognition

Creates Keywords and Metadata:

Digital assets need to be organized and defined in a manner that is consistent across the organization, departments and teams. Image recognition allows to quickly classify, categorize and describe visual content with predefined classifiers, assuring perfect consistency.

Facilitates On-Boarding Process for New Customers:

Users are reluctant to relocate their visual library because of the labor-intensive process of organizing them in the new system. With image recognition and auto-tagging, this process is easily solved at scale, making onboarding as quick as uploading the files in the cloud.

Improves Content Discoverability for Humans and Machines:

In a library with millions of subjects and classes, only the curator has a complete overview of resources. Using image recognition, every user has an access, thanks to a seamless unified classification and auto-indexing of all visual content.

What Solutions Image Recognition offer for DAM?

As soon as users upload their creative files to their DAM, Imagga’s artificial intelligence software analyse their content and automatically pre-populates the metadata field with suggested relevant keywords. They can then easily decide which ones to keep according to their internal nomenclature.

Using deep learning, Imagga also offers the option for users to train their own custom categorizer, precisely tailored to their content. For example, a brand might wish to have their products images been auto taged with names, but with SKU as well. Or a library specialized in mushrooms might need every species identified by their scientific, latin names.